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seo-gsc-drops

Detect ranking drops and lost traffic using Google Search Console data. Compares the last 28 days against the prior 28-day period to surface pages and keywords with the biggest declines. Use when user says "GSC drops", "ranking drops", "lost traffic", "pages losing rankings", or "keyword drops".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구Search Console

실행 점수 미검증

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SKILL.md(원문)

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GSC Drops — Ranking Drop Detection

@skills/seo/references/mcp-degradation.md @skills/seo/references/gsc-api-reference.md

Identifies pages and keywords that lost clicks between the last 28 days and the prior 28-day period. Sorts by biggest losses first. Highlights CRITICAL drops (>50% loss).

MCP Check

Before calling any GSC tool, verify the MCP is connected:

  1. Use ToolSearch with query +google-search-console
  2. If tools returned — note the actual tool name prefix, proceed to Inputs
  3. If no tools returned — display the GSC MCP error template from references/mcp-degradation.md and stop:
## Google Search Console MCP Not Available

The `/seo gsc drops` command requires the GSC MCP, which is not currently connected.

**What you can do:**
- Use `/seo technical <url>` for crawlability and indexability analysis (no live data)
- Use `/seo audit <url>` for a full static SEO audit

**To connect GSC MCP:**
- Install and configure a Google Search Console MCP server (see README for setup)
- Add it to ~/.claude/mcp.json at user scope (NOT project scope)
- Verify GSC property access before running commands (domain vs URL prefix format)
- See references/gsc-api-reference.md for property format details

Inputs

  • site: The GSC property URL. Accept both formats:
    • Domain property: sc-domain:example.com
    • URL prefix: https://example.com or https://www.example.com
    • If user provides a bare domain (no prefix), call list_sites to identify the correct property format registered in GSC.

Date Calculation

Use Bash to calculate the two comparison periods (GSC has ~3 day delay):

currentEnd=$(date -v-3d +%Y-%m-%d)
currentStart=$(date -v-31d +%Y-%m-%d)
previousEnd=$(date -v-31d +%Y-%m-%d)
previousStart=$(date -v-59d +%Y-%m-%d)
echo "Current: $currentStart to $currentEnd | Previous: $previousStart to $previousEnd"

Execution

Step 1 — Page-level comparison: Call compare_performance with:

  • siteUrl: the site property
  • currentStartDate: currentStart
  • currentEndDate: currentEnd
  • previousStartDate: previousStart
  • previousEndDate: previousEnd
  • dimension: "page"
  • limit: 500

Step 2 — Query-level comparison: Call compare_performance with the same date params but:

  • dimension: "query"
  • limit: 500

Post-processing:

  • Filter Step 1 results to rows where clicksChange < 0 (pages that lost clicks)
  • Filter Step 2 results to rows where clicksChange < 0 (queries that lost clicks)
  • Sort both lists by clicksChange ascending (biggest losses first)
  • For each row, calculate change percentage if not provided: changePercent = (clicksChange / previousClicks) * 100
  • Mark rows with changePercent < -50 as CRITICAL

Output Format

## GSC Drops: [site property]
**Current Period:** [currentStart] to [currentEnd]
**Previous Period:** [previousStart] to [previousEnd]

### Top Dropping Pages
| Page URL | Current Clicks | Previous Clicks | Change | Change% | Severity |
|----------|---------------|-----------------|--------|---------|----------|
| [url] | [n] | [n] | [n] | [X.X%] | CRITICAL / — |
...

### Top Dropping Queries
| Query | Current Clicks | Previous Clicks | Change | Change% | Severity |
|-------|---------------|-----------------|--------|---------|----------|
| [query] | [n] | [n] | [n] | [X.X%] | CRITICAL / — |
...

**Note:** CRITICAL = more than 50% drop in clicks between periods.

Show top 25 dropping pages and top 25 dropping queries. Truncate long URLs to 60 characters with ... for readability. If no drops detected, report: "No pages or queries lost clicks between the two periods."

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Comprehensive SEO analysis for any website or business type. Orchestrates 52 sub-skills (52 active): full site audits, technical SEO (CWV/INP), schema, E-E-A-T content quality, images, sitemaps, GEO for AI Overviews, llms.txt generation, AI crawler audit, plus live GSC and Ahrefs MCP data. GSC: overview, drops, opportunities, brand-vs-nonbrand, cannibalization, compare, content-decay, index-issues, new-keywords. Ahrefs: overview, backlinks, keywords, competitors, content-gap, broken-links, new-links, anchor-analysis, dr-history, top-pages. Cross-MCP: serp, content-brief, brand-radar, site-audit-pro, report. Local: log-analysis, ai-content-check, internal-links, local, migration-check, obsidian-kb. AI Readability: llms-txt, robots-ai. Performance: lighthouse-audit, core-web-vitals, page-experience. Quality & AI Search: rich-results, ai-optimization, eeat-audit, helpful-content. Triggers on: "SEO", "audit", "schema", "Core Web Vitals", "sitemap", "E-E-A-T", "AI Overviews", "GEO", "technical SEO", "content quality", "structured data", "GSC", "Ahrefs", "backlinks", "keywords", "search console", "domain rating", "local SEO", "migration", "lighthouse", "pagespeed", "LCP", "INP", "CLS", "page experience", "interstitials", "mobile friendly", "rich results", "rich snippets", "schema eligibility", "AI optimization", "AI search readiness", "EEAT", "trust signals", "helpful content", "people-first", "content quality gate".

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